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No Setup Needed Play NES, SNES, Sega, Atari Games Directly in Browser

Hacker News

No Setup Needed Play NES, SNES, Sega, Atari Games Directly in Browser

Tired of the hassle of setting up classic NES, SNES, Sega, Arcade, and Atari games on modern systems? I have built something way simpler - browser based emulation. Key Features: Instant Play: No downloads or complex configurations required. Extensive Library: Explore iconic titles like Super Mario Bros., The Legend of Zelda, Sonic the Hedgehog, Pac-Man, and Street Fighter II. Seamless Emulation: Enjoy smooth gameplay powered by advanced browser technology. Cloud Saves: Never lose your progress again with cloud saving. Let me know your thoughts/suggestions and help bring back the glory days of old age gaming!

Visit product View on Hacker NewsOct 18, 2024

Actual performance

15points

6comments

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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